CN107042870A - A kind of catamaran of solar energy, wind power hybrid generating - Google Patents
A kind of catamaran of solar energy, wind power hybrid generating Download PDFInfo
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- CN107042870A CN107042870A CN201710042963.1A CN201710042963A CN107042870A CN 107042870 A CN107042870 A CN 107042870A CN 201710042963 A CN201710042963 A CN 201710042963A CN 107042870 A CN107042870 A CN 107042870A
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B63—SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
- B63B—SHIPS OR OTHER WATERBORNE VESSELS; EQUIPMENT FOR SHIPPING
- B63B1/00—Hydrodynamic or hydrostatic features of hulls or of hydrofoils
- B63B1/02—Hydrodynamic or hydrostatic features of hulls or of hydrofoils deriving lift mainly from water displacement
- B63B1/10—Hydrodynamic or hydrostatic features of hulls or of hydrofoils deriving lift mainly from water displacement with multiple hulls
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B63—SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
- B63H—MARINE PROPULSION OR STEERING
- B63H21/00—Use of propulsion power plant or units on vessels
- B63H21/12—Use of propulsion power plant or units on vessels the vessels being motor-driven
- B63H21/17—Use of propulsion power plant or units on vessels the vessels being motor-driven by electric motor
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B63—SHIPS OR OTHER WATERBORNE VESSELS; RELATED EQUIPMENT
- B63H—MARINE PROPULSION OR STEERING
- B63H21/00—Use of propulsion power plant or units on vessels
- B63H21/12—Use of propulsion power plant or units on vessels the vessels being motor-driven
- B63H21/17—Use of propulsion power plant or units on vessels the vessels being motor-driven by electric motor
- B63H2021/171—Use of propulsion power plant or units on vessels the vessels being motor-driven by electric motor making use of photovoltaic energy conversion, e.g. using solar panels
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- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- Ocean & Marine Engineering (AREA)
- General Physics & Mathematics (AREA)
- Fluid Mechanics (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention provides a kind of solar energy, the catamaran of wind power hybrid generating, including binary lash ship, binary lash ship is provided with the mixed power plant for driving binary lash ship to move, also include solar power system, the wind generator system for being used to power for the mixed power plant, and for carrying out the fault detect identifying system of fault detect identification to the mixed power plant.The present invention can supply the electric energy changed by solar energy and wind energy, energy-conserving and environment-protective for binary lash ship；By setting fault detect identifying system, fault detect identification can be carried out to mixed power plant in time, it is ensured that can be repaired in time when it breaks down.
Description
Technical field
The present invention relates to catamaran design field, and in particular to a kind of solar energy, the catamaran of wind power hybrid generating.
Background technology
In correlation technique, the research and development of ship reproducible dynamic energy technology are both forward-looking, concerning national ship section
The distant view problem of skill sustainable development, is also to be badly in need of studying the urgent problem of realization.At present, the ship power of catamaran is still
Rely on fuel, high energy consumption and seriously polluted；It therefore, it can solar power generation and wind generating technology being applied on catamaran,
Mixed power plant is built, so as to be catamaran electric energy supplement, the use of fuel is reduced.
The content of the invention
In view of the above-mentioned problems, a kind of the present invention is intended to provide catamaran of solar energy, wind power hybrid generating.
The purpose of the present invention is realized using following technical scheme：
There is provided a kind of solar energy, the catamaran of wind power hybrid generating, including binary lash ship, binary lash ship is provided with and driven
Binary lash ship motion mixed power plant, in addition to for powered for the mixed power plant solar power system,
Wind generator system, and for carrying out the fault detect identifying system of fault detect identification to the mixed power plant.
Beneficial effects of the present invention are：By setting wind generator system and solar power system on binary lash ship,
Two systems can supply the electric energy changed by solar energy and wind energy, energy-conserving and environment-protective for binary lash ship；By setting fault detect to know
Other system, can carry out fault detect identification, it is ensured that can obtain in time when it breaks down to mixed power plant in time
Maintenance.
Brief description of the drawings
Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not constitute any limit to the present invention
System, for one of ordinary skill in the art, on the premise of not paying creative work, can also be obtained according to the following drawings
Other accompanying drawings.
Fig. 1 is the structure connection diagram of the present invention；
Fig. 2 is the structure connection diagram of the fault detect identifying system of one embodiment of the invention.
Reference：
Binary lash ship 1, mixed power plant 2, solar power system 3, wind generator system 4, fault detect identification system
System 5, alarm 6, vibration signal acquiring unit 11, vibration signal noise reduction unit 12, fault signature extraction unit 13, Fault Identification
Unit 14.
Embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, a kind of solar energy, the catamaran of wind power hybrid generating of the present embodiment, including binary lash ship 1, binary
Lash ship 1 is provided with the mixed power plant 2 for driving binary lash ship 1 to move, in addition to for being powered for the mixed power plant 2
Solar power system 3, wind generator system 4, and for the mixed power plant 2 carry out fault detect identification therefore
Barrier detection identifying system 5.
It is preferred that, the solar power system 3 include multigroup solar panel and with the solar panel
The solar energy converting unit of electrical connection, the solar panel is arranged on the deck of binary lash ship 1；The wind generator system
4 include the wind-driven generator provided with multiple blades, and the wind-driven generator is arranged on the deck afterbody of the binary lash ship 1.
Further, the solar energy, wind energy hybrid power catamaran also include being used to occur in the mixed power plant 2
The alarm 6 alarmed during failure.
The above embodiment of the present invention by setting wind generator system 4 and solar power system 3 on binary lash ship 1,
Two systems can supply the electric energy by solar energy and wind energy conversion, energy-conserving and environment-protective for binary lash ship 1；By setting fault detect to know
Other system 5, can carry out fault detect identification to mixed power plant 2 in time, it is ensured that can be timely when it breaks down
To maintenance.
Referring to Fig. 2, the fault detect identifying system 5 includes vibration signal acquiring unit 11, the vibration letter being sequentially connected
Number noise reduction unit 12, fault signature extraction unit 13 and fault identification unit 14；
The vibration signal acquiring unit 11, for obtaining mixed power plant 2 in normal shape using acceleration transducer
Original vibration signal when being run under state and under various malfunctions；
The vibration signal noise reduction unit 12 is used to carry out noise reduction process to original vibration signal；
The fault signature extraction unit 13 is used for the fault characteristic information for extracting the vibration signal after noise reduction；
The fault identification unit 14 is used to set up fault diagnosis model, and using the fault characteristic information extracted to the event
Barrier diagnostic model is trained, so as to carry out Fault Identification to mixed power plant 2 based on the fault diagnosis model trained.
The vibration signal noise reduction unit 12 includes the preliminary noise reduction subelement of signal, two grades of noise reduction subelements of signal and signal
Final stage noise reduction subelement；
The preliminary noise reduction subelement of signal is used for the adaptive analysis method using minimum entropy deconvolution to original vibration
Signal carries out preliminary noise reduction；
Described two grades of noise reduction subelements of signal are used to enter the vibration signal after the preliminary noise reduction subelement processing of signal
The secondary noise reduction of row；
After the signal final stage noise reduction subelement is used to be based on improved Empirical mode algorithm to two grades of noise reductions of signal
Vibration signal carry out final stage noise reduction.
This preferred embodiment carries out multiple noise reduction to the original vibration signal of acquisition, can effectively eliminate noise to data
Influence so that be conducive to improve to mixed power plant 2 carry out fault signature extraction precision.
Preferably, the fault characteristic information for extracting the vibration signal after noise reduction, is specifically included：
(1) analysis is demodulated to the vibration signal after noise reduction by second-order cyclic auto-correlation function, obtains second-order cyclic
Auto-correlation function；
(2) time domain section is carried out to the second-order cyclic auto-correlation function, time domain slice signal is obtained, so as to extract vibration
The fault characteristic information of signal.
Wherein, the adaptive analysis method using minimum entropy deconvolution carries out preliminary noise reduction to original vibration signal,
Including：
(1) size of entropy is weighed using norm, and it is sought the maximum of object function as object function, by the mesh
The maximum of scalar functions is used as optimal filter coefficients；
(2) deconvolution computing is carried out to original vibration signal with the optimal filter coefficients, draws filter coefficient, make
Original vibration historical signal is filtered with obtained filter coefficient design FIR filter.
The noise reduction process mode of this preferred embodiment can effectively reduce the noise section in original vibration signal, improve former
The signal to noise ratio of beginning vibration signal, weakens interference of the noise to the small-signal feature extraction after Empirical mode decomposition, enters one
Step improves the precision that fault signature extraction is carried out to mixed power plant 2, so as to be beneficial to carry out accurately mixed power plant 2
Fault Identification, it is ensured that can timely be repaired when mixed power plant 2 breaks down, it is ensured that the normal fortune of catamaran
OK.
Preferably, the described pair of vibration signal after the preliminary noise reduction subelement processing of signal carries out secondary noise reduction, specifically
Including：
(1) to carrying out wavelet conversion by the vibration signal of the preliminary noise reduction subelement noise reduction of signal, obtain on different frequency bands
Vibration signal, using slide window setting technique on each frequency band vibration signal carry out segment processing, extract vibration signal time
Sequence Z and C, and each segment signal wavelet coefficientWherein g=1,2,3 ..., it is the frequency band number of vibration signal, m=1,2,
3 ..., it is the sequence of wavelet coefficient, the power spectral density to vibration signal carries out single order smoothing processing, the vibration after obtaining smoothly
Signal S (Z, C)；
(2) set on each frequency band it is smooth after vibration signal in each segment signal threshold values, according to the threshold values of setting to each
Segment signal carries out noise reduction, eliminates the vibration signal beyond threshold values；
(3) each segment signal after noise reduction is reconstructed, entering signal final stage noise reduction subelement is further dropped afterwards
Make an uproar processing.
The secondary noise reduction process of this preferred embodiment enables to each section of noise processed more flexibly accurate, and noise reduction is more
It is good, laid a good foundation to be extracted to the fault signature of mixed power plant 2, so as to be advantageously implemented hybrid power dress
Put the accurate identification of 2 failures.
Preferably, if S (Z, C) represent time series for Z and C it is smooth after vibration signal, S (Z-1, C) be time sequence
Be classified as Z-1 and C it is smooth after vibration signal, setting S (0, C)=0 introduces the threshold coefficient β for thinking setting, carries out secondary drop
When making an uproar, the vibration signal after being obtained smoothly using the smoothing formula below by optimization：
In formula, N is the length of the window function used, | U (Z, C) |2The power of frequency band corresponding to vibration signal S (Z, C)
Spectrum density.
In the present embodiment, to the calculating of the vibration signal after smooth, it is contemplated that the influence of threshold coefficient, it is also considered that window
The influence of the length of function, ensures that the accuracy of smoothing processing, and have the advantages that it is applied widely, be conducive to more preferably
Ground carries out noise reduction to the original vibration signal of mixed power plant 2, and the extraction for the fault signature to mixed power plant 2 is established
Good basis.
Preferably, the threshold values of each segment signal in the vibration signal after smooth on each frequency band is set according to below equation
It is fixed, if QgFor the threshold value of the vibration signal S (Z, C) after smooth on g-th of frequency band, Tmax(Z,C)、Tmin(Z, C) andPoint
Not Wei smoothly after vibration signal S (Z, C) maximum, minimum value and average value, then：
In formula, β is the described threshold coefficient being manually set,For the wavelet coefficient of described each segment signal
Intermediate value absolute value.
In the preferred embodiment, by using the power spectral density and wavelet coefficient of each frequency band in vibration signal to each section
The threshold values of signal is adaptively adjusted, and can avoid the influence of signal length vibrated, so as to improve the accurate of noise reduction
Degree, is advantageously implemented the accurate identification of the failure of mixed power plant 2, so that it is guaranteed that when mixed power plant 2 breaks down
It can be alarmed in time by alarm 6, notify maintenance personal to be repaired in time to mixed power plant 2, it is ensured that mixing
The normal operation of power set 2, so that it is guaranteed that the normally travel of catamaran.
Preferably, the vibration signal to after two grades of noise reductions carries out final stage noise reduction, including：
(1) line of demarcation of low-and high-frequency is set, using the adaptive Time Frequency Analysis method of empirical mode decomposition by preliminary noise reduction
Original vibration signal afterwards is resolved into different intrinsic mode functions by low-and high-frequency, and the intrinsic mode function of gained is carried out in Fu
Leaf transformation,
(2) multiple intrinsic mode functions containing radio-frequency component and multiple natural mode of vibration letters containing low-frequency component are obtained
Number, multiple intrinsic mode functions containing radio-frequency component is combined into new intrinsic mode function KH, intrinsic mode function KH's
Combining calculation formula is：
Multiple intrinsic mode functions containing low-frequency component are combined into new intrinsic mode function KL, the intrinsic mode letter
Number KLCombination calculation formula be：
In formula, K1,K2,…,KaRepresent the intrinsic mode function containing radio-frequency component, K1+a,K2+a,…,KbRepresent containing low
The intrinsic mode function of frequency composition, a is the maximum number of plies of the intrinsic mode function containing radio-frequency component, and b is containing low-frequency component
Intrinsic mode function the maximum number of plies；
(2) to intrinsic mode function KH、KLEmpirical mode decomposition is carried out respectively, extracts sensitive intrinsic mode function.
This preferred embodiment is carried out after final stage noise reduction to the vibration signal after two grades of noise reductions, can avoid Empirical mode
Modal overlap phenomenon in decomposition, improves the Decomposition Accuracy of Empirical mode, is failure of the next step to mixed power plant 2
Feature extraction lays the foundation.
Preferably, to intrinsic mode function KLWhen carrying out Empirical mode decomposition, it is 100 to choose and integrate number of times, is chosen
White noise acoustic amplitude is [0.2,0.6]；To intrinsic mode function KHWhen carrying out Empirical mode decomposition, choosing integration number of times is
100, choose white noise acoustic amplitude and meet Pn=0.06Pδ, wherein PnEnergy scale for the white noise of selection is poor, PδFor original vibration
The energy scale of the optimal radio-frequency component of signal is poor, and the optimal radio-frequency component is intrinsic with original vibration signal correlation maximum
Mode function；
Wherein, if RELATIVE Φi(j) Φ is representedi(j) with the correlation of original vibration signal, E0(j) j-th of original is represented
Beginning vibration signal, Φi(j) i-th of intrinsic mode function corresponding with j-th of original vibration signal is represented, B is original vibration letter
Number sampling number, γ represents the quantity of intrinsic mode function corresponding with j-th of original vibration signal,For original vibration letter
Number average, intrinsic mode function and the correlation of original vibration signal are calculated using following formula：
In formula, Ψ is the correction factor being manually set.
This preferred embodiment dialogue noise amplitude is optimized, and is advantageously implemented the original vibration to mixed power plant 2
The accurate noise reduction of signal and the extraction of fault signature, realize the Fault Identification of accurate mixed power plant 2.
Inventor has carried out a series of tests using the present embodiment, and obtained experimental data is tested the following is progress：
The test data shows that wind generator system 4 of the invention and solar power system 3 can be successfully binary
Lash ship 1 supplies the electric energy by solar energy and wind energy conversion, relative to catamaran of the dependence fuel as power, more energy-saving ring
Protect；By setting fault detect identifying system 5, fault detect identification timely and accurately can be carried out to mixed power plant 2, really
Guarantor can be repaired in time when it breaks down, it can be seen that, present invention produces significant beneficial effect.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than to present invention guarantor
The limitation of scope is protected, although being explained with reference to preferred embodiment to the present invention, one of ordinary skill in the art should
Work as understanding, technical scheme can be modified or equivalent substitution, without departing from the reality of technical solution of the present invention
Matter and scope.
Claims (5)
1. the catamaran of a kind of solar energy, wind power hybrid generating, including binary lash ship, binary lash ship are provided with and drive binary lash ship
The mixed power plant of motion, it is characterized in that：The solar power system that also includes being used for powering for the mixed power plant,
Wind generator system, and for carrying out the fault detect identifying system of fault detect identification to the mixed power plant.
2. a kind of solar energy according to claim 1, the catamaran of wind power hybrid generating, it is characterized in that：The solar energy
Electricity generation system includes multigroup solar panel and the solar energy converting unit electrically connected with the solar panel, and this is too
Positive energy cell panel is arranged on the deck of binary lash ship；The wind generator system includes the wind-power electricity generation provided with multiple blades
Machine, the wind-driven generator is arranged on the deck afterbody of the binary lash ship.
3. a kind of solar energy according to claim 2, the catamaran of wind power hybrid generating, it is characterized in that：Also include being used for
The alarm alarmed when the mixed power plant breaks down.
4. a kind of solar energy according to claim 3, the catamaran of wind power hybrid generating, it is characterized in that：The failure inspection
Survey identifying system include be sequentially connected vibration signal acquiring unit, vibration signal noise reduction unit, fault signature extraction unit and
Fault identification unit；
The vibration signal acquiring unit, for using acceleration transducer obtain mixed power plant 2 in normal state and
Original vibration signal when being run under various malfunctions；
The vibration signal noise reduction unit is used to carry out noise reduction process to original vibration signal；
The fault signature extraction unit is used for the fault characteristic information for extracting the vibration signal after noise reduction；
The fault identification unit is used to set up fault diagnosis model, and using the fault characteristic information extracted to the fault diagnosis
Model is trained, so as to carry out Fault Identification to mixed power plant based on the fault diagnosis model trained.
5. a kind of solar energy according to claim 4, the catamaran of wind power hybrid generating, it is characterized in that：The vibration letter
Number noise reduction unit includes the preliminary noise reduction subelement of signal, two grades of noise reduction subelements of signal and signal final stage noise reduction subelement；
The preliminary noise reduction subelement of signal is used for the adaptive analysis method using minimum entropy deconvolution to original vibration signal
Carry out preliminary noise reduction；
Described two grades of noise reduction subelements of signal are used to carry out two to the vibration signal after the preliminary noise reduction subelement processing of signal
Secondary noise reduction；
The signal final stage noise reduction subelement is used for based on improved Empirical mode algorithm to shaking after two grades of noise reductions of signal
Dynamic signal carries out final stage noise reduction.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108919120A (en) * | 2018-07-20 | 2018-11-30 | 南京怡咖电气科技有限公司 | A kind of energy internet fault diagnosis method for power converter |
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| CN105354587A (en) * | 2015-09-25 | 2016-02-24 | 国网甘肃省电力公司电力科学研究院 | Fault diagnosis method for gearbox of wind generation unit |
| CN105626379A (en) * | 2016-01-12 | 2016-06-01 | 中国人民解放军海军工程大学 | Solar energy and wind energy hybrid catamaran |
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2017
- 2017-01-20 CN CN201710042963.1A patent/CN107042870B/en active Active
Patent Citations (5)
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| CN103234767A (en) * | 2013-04-21 | 2013-08-07 | 蒋全胜 | Nonlinear fault detection method based on semi-supervised manifold learning |
| CN103715983A (en) * | 2013-12-26 | 2014-04-09 | 广东易事特电源股份有限公司 | Device and method for detecting faults of solar power generation system |
| CN104863842A (en) * | 2015-05-11 | 2015-08-26 | 昆明理工大学 | Diaphragm pump fault diagnosis method and device based on fractal theory |
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Address after: 225300 No. 22 Baojiu Road, Taizhou Pharmaceutical High-tech Industrial Development Zone, Jiangsu Province Patentee after: Jiangsu Hui Zhi Da Mdt InfoTech Ltd Address before: 225300 room third, podium third, three, Fengchuang mansion, 60 Fenghuang Road, Hailing District, Taizhou, Jiangsu. Patentee before: Jiangsu Hui Zhi Da Mdt InfoTech Ltd |
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| CP02 | Change in the address of a patent holder |
Address after: No. 58, Xinfu Road, Xinjie community, yonganzhou Town, Gaogang District, Taizhou City, Jiangsu Province Patentee after: Jiangsu remittance intelligence reaches Information technology Co.,Ltd. Address before: 225300 No. 22 Baojiu Road, Taizhou Pharmaceutical High-tech Industrial Development Zone, Jiangsu Province Patentee before: Jiangsu remittance intelligence reaches Information technology Co.,Ltd. |
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| TR01 | Transfer of patent right |
Effective date of registration: 20210917 Address after: 225300 No. 99 Xingye Road, Hailing Industrial Park, Taizhou City, Jiangsu Province Patentee after: JIANGSU TENGFA BUILDING MACHINERY Co.,Ltd. Address before: No.58 Xinfu Road, Xinjie community, yong'anzhou Town, Gaogang District, Taizhou City, Jiangsu Province 225300 Patentee before: Jiangsu remittance intelligence reaches Information technology Co.,Ltd. |